Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm

Prasanth Duraisamy, A. Ponnusamy
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引用次数: 3

Abstract

The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of flexible AC transmission system (FACTS) devices static var compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.
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基于遗传算法的SVC优化布局和优化规模改进电力系统性能
随着发电需求的日益迫切,电力系统的损耗最小化变得越来越重要。损耗最小化改善了电压分布,从而提高了系统的可负载性。在许多类型的柔性交流输电系统(FACTS)设备中,静态无功补偿器(SVC)是成本低廉的,它以较小的体积改善了系统的性能。在这里,SVC被优化放置在一个30总线系统的测试系统中。采用遗传算法求解最优解。
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